PhD · Doctorate

PhD in Statistics

The PhD Statistics Programme is primarily a research-based post-graduate programme. The programme has a 3-year duration (maximum 4 years) during which the student will be generating new knowledge and considering that new information concerning existing information. The programme interprets the term “statistics” very broadly and permits specialisation in probability, statistical theory and analysis, biostatistics, and interdisciplinary areas of application. Qualified students would typically have a strong background in mathematics. The student is expected to carry out a programme of research under the supervision of a primary supervisor and one or more co-supervisors. The programme offers opportunities for PhD research in several areas of statistics including: 1. Pure Statistics 2. Data Science 3. Applied Statistics 4. Bayesian Statistics 5. Statistical Theory 6. Applied Probability

PhD in Statistics

Key Information

Academic Division

Tali Graduate School

Duration

4 Years

Awarding Institution

University of Cape Coast (UCC)

Accreditation

Ghana Tertiary Education Commission (GTEC)

Institutions

Teaching Institution

SouthShore University College

Awarding Institution

University of Cape Coast (UCC)

Quality & Accreditation

Fully accredited by GTEC and monitored by the DOEQA. External Examiners ensure global assessment parity.

Admission Requirements

  • Entry Requirements

    A. Candidates with at least a Master’s degree in Statistics can be admitted directly into the PhD programme. B. Candidate with a Master’s degree in Actuarial Science, Mathematics or Mathematics/Statistics related discipline having CGPA of 3.0 or better, with no more than one grade C+ or lower in Research Methods can be admitted directly into the PhD programme but must audit some selected prescribe courses from the MSc Statistics programme.

  • Application and admission into the Doctoral programme

    A student will apply in writing through The Deputy Registrar, The Graduate School. The Dean of TGS will consider the application with the Graduate Admissions Committee and issue admission letters.

Curriculum Overview

Year 1

Semester 1

GSST 551: Advanced Statistical Methods
GSST 553: Probability Theory and Distributions
GSST 555: Advanced Design and Analysis of Experiments
GSST 557: Regression Analysis
GSST 559: Environmental Statistics
GSST 561: Longitudinal Data Analysis
GSST 563: Applied Time Series and Forecasting
GSST 565: Life Contingency I
GSST 567: Economic Statistics

Semester 2

GSST 568: Statistical Inference
GSST 570: Research Methods
GSST 572: Bayesian Statistics
GSST 574: Multivariate Data Analysis
GSST 576: Applied Stochastic Models
GSST 578: Econometrics
GSST 580: Life Contingency II
GSST 582: Demographic Models

Semester 3

GSST 571: Survival Data Analysis
GSST 573: Advanced Sample Survey
GSST 575: MSc Dissertation
GSST 577: Operations Research
GSST 579: Actuarial Models
GSST 581: Financial Mathematics
GSST 583: Epidemiology
GSST 585: Population Analysis and Official Statistics

Year 2

Semester 1

Research Methodology and Data Analysis
Advanced Academic Writing
Seminar
Thesis

Semester 2

Thesis

Year 3

Semester 1

Thesis
Seminar I

Semester 2

Thesis
Seminar II

Year 4

Semester 1

Thesis
Seminar III

Semester 2

Thesis

Semester 4

Seminar IV

Career Prospects

Academia

Government

Marketing Services

Financial services

Healthcare services

Research and development companies

Bio-pharmaceutical industries

Not-for-profit sector

Ready to Begin Your Journey?

Join SouthShore University College and embark on a transformative educational experience that will shape your future.